November 2024: Focused on delivering a feature-rich inference service for ISKOLMATE. Key delivery includes a Flask-based image processing and ensemble inference system (app.py) with routes for image uploads and predictions, parallel loading of multiple TensorFlow Keras models via threading, ensemble voting for robust predictions, and support for multiple color-space transformations. No major bugs reported this month; efforts concentrated on building a scalable, reliable end-to-end inference pipeline. Overall impact: faster, more accurate image analysis enabling scalable deployment. Technologies demonstrated: Python, Flask, TensorFlow Keras, threading, ensemble methods, image preprocessing color spaces. Key commits include: 6fb004e477d0c516f4075d4ba2dee4b8042bbfb0.